Global constraints for syntactic consistency in omr: an ongoing approach

dc.contributor.authorRebelo, Ana
dc.contributor.authorMarcal, Andre R. S.
dc.contributor.authorCardoso, Jaime S.
dc.date.accessioned2018-12-11T17:12:38Z
dc.date.available2018-12-11T17:12:38Z
dc.date.issued2013
dc.description.abstractOptical Music Recognition (OMR) systems are an indispensable tool to transform the paper-based music scores and manuscripts into a machine-readable symbolic format. A system like this potentiates search, retrieval and analysis. One of the problematic stages is the musical symbols detection where operations to localize and to isolate musical objects are developed. The complexity is caused by printing and digitalization, as well as the paper degradation over time. Distortions inherent in staff lines, broken, connected and overlapping symbols, differences in sizes and shapes, noise, and zones of high density of symbols is even worst when we are dealing with handwritten music scores. In this paper the exploration of an optimization approach to support semantic and syntactic consistency after the music symbols extraction phase is proposed. The inclusion of this ongoing technique can lead to better results and encourage further experiences in the field of handwritten music scores recognition.pt_PT
dc.identifier.citationRebelo, A., Marcal, A., & Cardoso, J. S. (2013). Global constraints for syntactic consistency in omr: an ongoing approach. In Kamel M., Campilho A. (eds), International Conference on Image Analysis and Recognition (ICIAR 2013): Image Analysis and Recognition. Lecture Notes in Computer Science (vol. 7950, pp. 734-741). Springer, Berlin, Heidelberg. Disponível no Repositório UPT, http://hdl.handle.net/11328/2480pt_PT
dc.identifier.doihttps://doi.org/10.1007/978-3-642-39094-4_84pt_PT
dc.identifier.isbn978-3-642-39094-4
dc.identifier.isbn978-3-642-39093-7
dc.identifier.urihttp://hdl.handle.net/11328/2480
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-642-39094-4_84pt_PT
dc.rightsopen accesspt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectComputer visionpt_PT
dc.subjectImage processingpt_PT
dc.subjectOptical music recognitionpt_PT
dc.titleGlobal constraints for syntactic consistency in omr: an ongoing approachpt_PT
dc.typeconferenceObjectpt_PT
degois.publication.firstPage734pt_PT
degois.publication.lastPage741pt_PT
degois.publication.titleInternational Conference on Image Analysis and Recognition (ICIAR 2013)pt_PT
degois.publication.volume7950pt_PT
dspace.entity.typePublicationen

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